Etudier, quantifier, prévoir les impacts du climat et des activités humaines sur les ressources en eau des régions méditerranéennes et tropicales
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PNG Image - 68.2 KB - MD5: a190b6cf86b36b036cd91b0a26bc207e
Figure 1b
LaTeX - 43.0 KB - MD5: a8ad8e579c44f7e83f8b90db2e48e2bf
Guide d'annotation du projet MeDo, version source au format LaTeX
Mar 27, 2020
Arpin-Pont, Florent; Ansart, Patrick; Azougui, Abdelkader; Barral, Hélène; Blanchouin, Arnaud; Cappelaere, Bernard; Chazarin, Jean-Philippe; Cohard, Jean-Martial; Delaigue, Olivier; Demarty, Jérôme; Guerin, Alain; Tallec, Gaëlle, 2022, "Flux tower by Eddy Covariance and InfraRed scintillometry on ORACLE observatory", https://doi.org/10.15454/M7OK9E
Observational data from flux tower and infrared scintillometry. Data are associated with micro-meteorological data. All data is measured at high-frequency. Data have been collected during CRITEX/EQUIPEX project on the Oracle-Orgeval observatory (INRAE). These data are free availa...
This dataset is harvested from another repository. Clicking the link will take you directly to the source of the data.
dBASE Table for ESRI Shapefile - 244 B - MD5: 2982de84acf356adfd0c424a06cfce1d
Shape - 5.2 KB - MD5: ebff03dae293f43e59bd53e0eba7e388
HTML - 9.9 KB - MD5: d8d714ce6230bef366ae84c117604f8b
Shape - 108 B - MD5: 40bdeeeb93de9019ed341bdb9999ad5f
dBASE Table for ESRI Shapefile - 8.9 KB - MD5: 21b6d5b07dffe1e09cdb227128a8e352
Shape - 90.7 KB - MD5: 7e2605eafa7a82f0c644c404a0e033ff
Shape - 1.7 KB - MD5: b99eb9d6745cde199515c522a1ca2bf6
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